Linear adaptive equalizer based on channel estimation

Abstract

The invention provides a linear adaptive equalizer based on channel estimation, which comprises a plurality of taps, a time delay unit and tap coefficients corresponding to the taps. The linear adaptive equalizer is characterized in that the specific number of the plurality of taps is determined by a tap quantity generating module, wherein the tap quantity generating module further comprises a sub-module for obtaining an amplitude impact response of the channel and obtaining the amplitude impact response of the channel according to a related value of a synchronizing signal of a communication data frame, a sub-module for building a discrete model of the channel and determining a coefficient hi of the discrete model of the channel according to an estimation result of the amplitude impact response of the channel, and a length n generation sub-module for obtaining a Lagrange remainder term and a diversity factor by expanding and solving the stage number of the discrete model reciprocal value of the channel and finally analyzing the relation of the diversity factor expression and the equalizer length n to obtain a result. The tap quantity generating module also comprises a sub-module for optimizing the tap quantity n, and the sub-module adopts a search algorithm.

Description

technical field [0001] The invention belongs to the field of underwater acoustic communication, and proposes an adaptive equalizer length design method based on channel estimation, which makes up for the shortcomings of the traditional search method and empirical determination method, and explains the basis for selecting the equalizer length theoretically. That is, a linear adaptive equalizer based on channel estimation is provided. Background technique [0002] Underwater acoustic communication technology has important applications in industry, agriculture, national defense, etc. In recent years, it has gradually become a research hotspot at home and abroad. Both water and air belong to the wireless channel, but there are significant differences between them. First of all, electromagnetic waves are greatly attenuated in water media and cannot be used as a carrier for long-distance communication. Therefore, acoustic waves are generally used for underwater signal transmissio...

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The advantage of this method is that the algorithm can converge regardless of whether the initial equilibrium order setting is appropriat

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